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BORIS CARÍKËO AGUILERA, Ph.D

BORIS CARÍKËO AGUILERA, Ph.D.

Engineer, technopreneur, economist, academic, and futurist

Boris Carikeo Aguilera is an electronic engineer, technopreneur, economist, academic, and futurist, who has worked on different areas including tecnology policy, sustainable development, Latin America, sistems of innovation & entrepreneurship, public policy, health technologies, higher education, information technologies and Future Studies.

Carikeo was born in Tomé, Chile, from Mapuche estirpe, people from South America whose nation “The Wallmapu” existed in part of what is today Argentina and Chile.

Carikeo obtained his Engineer degree and Master of Science (MII) degrees in Industrial Engineering at the University of Concepcion (UDEC), Concepción, Chile. Obtained a Masters of Business Administration (MBA) at Bio Bio University. He subsequently studied his Master in Applied Economics at Georgetown University in Washington, USA, and at the International University of Andalucia, Spain, a specialization in Political science in iberoamerica. He started his doctoral degree in Policy and Management of Higher Educación at Untref Public University, Buernos Aires Argentina.

After graduating, Carikeo was responsible for the delivery of technologies in entreprenuer program in Morocco (North of África), Instructional designer at World Bank project working for in five countries ( Peru, Chile, Bolivia, Ecuador, Venezuela) from Andes región, and Tutor of courses and e-government projects through OAS – Sedi. ( across all Latin America and caribien ). As a consultant for higher educational institutions, he worked in knowledge management, future studies, Elearning, quality management, institutional design in Argentina, Peru, Brazil, Ecuador and El Salvador. He currently works for several universities as an academic and consultant.

Carikeo entered into the area of health in 2000, through information technologies, and in particular in hardware technology and in 2010 with information analysis using data mining and artificial intelligence to discover patterns of medical diagnosis, deductive models and drug preferences in Public health systems in Chile in the context of the academic activities.

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